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Random Forest Regression Assisted Raman Spectroscopy for Authenticating the Purity of Virgin Coconut Oil

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inferredcites →https://doi.org/10.1002/adom.202203104openalex-snapshot
Recent Progresses in Machine Learning Assisted Raman Spectroscopy
inferredcites →https://doi.org/10.1002/aic.17992openalex-snapshot
Partial least squares, steepest descent, and conjugate gradient for regularized predictive modeling
inferredcites →https://doi.org/10.1002/cem.3293openalex-snapshot
Mixture analysis using non‐negative elastic net for Raman spectroscopy
inferredcites →https://doi.org/10.1007/s11101-024-09969-1openalex-snapshot
Coconut-sourced MCT oil: its potential health benefits beyond traditional coconut oil
inferredcites →https://doi.org/10.1007/s12161-018-1160-yopenalex-snapshot
Thermal Stability Assessment of Vegetable Oils by Raman Spectroscopy and Chemometrics
inferredcites →https://doi.org/10.1007/s12161-022-02342-yopenalex-snapshot
Detection of Adulteration in Coconut Oil and Virgin Coconut Oil Using Advanced Analytical Techniques: A Review
inferredcites →https://doi.org/10.1007/s12161-024-02728-0openalex-snapshot
Qualitative Identification and Adulteration Quantification of Extra Virgin Olive Oil Based on Raman Spectroscopy Combined with Multi-task Deep Learning Model
inferredcites →https://doi.org/10.1016/b978-0-12-814217-2.00006-8openalex-snapshot
Ultraviolet-visible spectroscopy for food quality analysis
inferredcites →https://doi.org/10.1016/j.aca.2023.340888openalex-snapshot
Latest strategies for rapid and point of care detection of mycotoxins in food: A review
inferredcites →https://doi.org/10.1016/j.foodchem.2019.04.073openalex-snapshot
Random forest as one-class classifier and infrared spectroscopy for food adulteration detection
inferredcites →https://doi.org/10.1016/j.foodchem.2021.131471openalex-snapshot
The application of machine-learning and Raman spectroscopy for the rapid detection of edible oils type and adulteration
inferredcites →https://doi.org/10.1016/j.foodchem.2023.137077openalex-snapshot
Classification of oils and margarines by FTIR spectroscopy in tandem with machine learning
inferredcites →https://doi.org/10.1016/j.foodchem.2023.137109openalex-snapshot
Raman spectroscopy combined with multiple one-dimensional deep learning models for simultaneous quantification of multiple components in blended olive oil
inferredcites →https://doi.org/10.1016/j.foodchem.2024.139017openalex-snapshot
Machine learning-enabled high-throughput industry screening of edible oils
inferredcites →https://doi.org/10.1016/j.foodchem.2024.141314openalex-snapshot
Adulteration detection of multi-species vegetable oils in camellia oil using Raman spectroscopy: Comparison of chemometrics and deep learning methods
inferredcites →https://doi.org/10.1016/j.foodchem.2025.144909openalex-snapshot
A comparison of decision tree-based algorithms for food discrimination using vibrational spectroscopy
inferredcites →https://doi.org/10.1016/j.foodcont.2022.108879openalex-snapshot
The use of in-situ Raman spectroscopy to monitor at real time the quality of different types of edible oils under frying conditions
inferredcites →https://doi.org/10.1016/j.foodres.2013.08.041openalex-snapshot
Vibrational spectroscopy and chemometrics to assess authenticity, adulteration and intrinsic quality parameters of edible oils and fats
inferredcites →https://doi.org/10.1016/j.jfca.2021.104119openalex-snapshot
PLS-regression-model-assisted raman spectroscopy for vegetable oil classification and non-destructive analysis of alpha-tocopherol contents of vegetable oils
inferredcites →https://doi.org/10.1016/j.jfca.2024.106212openalex-snapshot
Evolving trends in fluorescence spectroscopy techniques for food quality and safety: A review
inferredcites →https://doi.org/10.1016/j.jpba.2016.05.036openalex-snapshot
Quantification and handling of nonlinearity in Raman micro-spectrometry of pharmaceuticals
inferredcites →https://doi.org/10.1016/j.microc.2022.107613openalex-snapshot
Feasibility study on Raman spectra-based deep learning models for monitoring the contamination degree and level of aflatoxin B1 in edible oil
inferredcites →https://doi.org/10.1016/j.microc.2024.112323openalex-snapshot
Handling non-linearities and pre-processing in multivariate calibration of vibrational spectra
inferredcites →https://doi.org/10.1016/j.neucom.2017.04.018openalex-snapshot
An efficient instance selection algorithm for k nearest neighbor regression
inferredcites →https://doi.org/10.1016/j.pmatsci.2021.100866openalex-snapshot
Progress in sensory devices of pesticides, pathogens, coronavirus, and chemical additives and hazards in food assessment: Food safety concerns
inferredcites →https://doi.org/10.1016/j.saa.2023.122806openalex-snapshot
Determination of benzo(a)pyrene in peanut oil based on Raman spectroscopy and machine learning methods
inferredcites →https://doi.org/10.1016/j.saa.2024.124917openalex-snapshot
XGBoost algorithm assisted multi-component quantitative analysis with Raman spectroscopy
inferredcites →https://doi.org/10.1016/j.talanta.2020.121176openalex-snapshot
Raman spectroscopy and machine-learning for edible oils evaluation
inferredcites →https://doi.org/10.1016/j.trac.2020.116017openalex-snapshot
Raman spectroscopy coupled with chemometrics for food authentication: A review
inferredcites →https://doi.org/10.1038/s41596-021-00620-3openalex-snapshot
Chemometric analysis in Raman spectroscopy from experimental design to machine learning–based modeling
inferredcites →https://doi.org/10.1039/d1ay00886bopenalex-snapshot
Smartphone-based handheld Raman spectrometer and machine learning for essential oil quality evaluation
inferredcites →https://doi.org/10.1039/d4ay00562gopenalex-snapshot
Trends in authentication of edible oils using vibrational spectroscopic techniques
inferredcites →https://doi.org/10.1080/10408398.2013.871693openalex-snapshot
Applications of Near-infrared Spectroscopy in Food Safety Evaluation and Control: A Review of Recent Research Advances
inferredcites →https://doi.org/10.1080/10408398.2018.1500441openalex-snapshot
Application of Fourier transform infrared spectroscopy for the quality and safety analysis of fats and oils: A review
inferredcites →https://doi.org/10.1080/87559129.2019.1687515openalex-snapshot
Virgin Coconut Oil: Extraction, Physicochemical Properties, Biological Activities and Its Authentication Analysis
inferredcites →https://doi.org/10.1080/87559129.2021.2014860openalex-snapshot
Application of Raman Spectroscopy and Chemometrics for Quality Controls of Fats and Oils: A Review
inferredcites →https://doi.org/10.1093/fqsafe/fyac053openalex-snapshot
Rapid fatty acids detection of vegetable oils by Raman spectroscopy based on competitive adaptive reweighted sampling coupled with support vector regression
inferredcites →https://doi.org/10.1111/1541-4337.13005openalex-snapshot
Nuclear magnetic resonance spectroscopy in extra virgin olive oil authentication
inferredcites →https://doi.org/10.1117/12.464039openalex-snapshot
Machine learning methods for quantitative analysis of Raman spectroscopy data
inferredcites →https://doi.org/10.3389/fnut.2022.913297openalex-snapshot
Impact of Heating Temperature and Fatty Acid Type on the Formation of Lipid Oxidation Products During Thermal Processing
inferredcites →https://doi.org/10.3390/analytica3030020openalex-snapshot
Deep Learning for Raman Spectroscopy: A Review
inferredcites →https://doi.org/10.3390/bios11060187openalex-snapshot
Application of Raman Spectroscopic Methods in Food Safety: A Review
inferredcites →https://doi.org/10.3390/foods10061399openalex-snapshot
ASSURED Point-of-Need Food Safety Screening: A Critical Assessment of Portable Food Analyzers
inferredcites →https://doi.org/10.3390/foods11162436openalex-snapshot
A Review of Advanced Methods for the Quantitative Analysis of Single Component Oil in Edible Oil Blends
inferredcites →https://doi.org/10.3390/molecules26102940openalex-snapshot
Electrochemical Biosensors in Food Safety: Challenges and Perspectives
inferredcites →https://doi.org/10.3390/s19040817openalex-snapshot
Emerging Point-of-care Technologies for Food Safety Analysis
inferredcites →https://doi.org/10.37231/myjas.2024.9.1.385openalex-snapshot
Raman Spectroscopy for Edible Oil Authentication: A Review
inferredcites →https://doi.org/10.4038/jas.v18i1.10101openalex-snapshot
Aflatoxin Occurrence, Contamination, Detection, and Decontamination with Special Emphasis on Coconut Oil: A Review
inferredcites →https://doi.org/10.4097/kja.19087openalex-snapshot
Multicollinearity and misleading statistical results
inferredcites →https://doi.org/10.5194/egusphere-egu22-2284openalex-snapshot
An assessment of Random Forest wrappers for selecting important features of spectroscopy data in the modelling of soil properties
inferredcites →https://doi.org/10.56899/151.04.01openalex-snapshot
Proposed Physicochemical Standards for the Identity and Quality Characteristics of Philippine Virgin Coconut Oil
inferredcites →https://doi.org/10.5772/13327openalex-snapshot
Assessment of Microwave versus Conventional Heating Induced Degradation of Olive Oil by VIS Raman Spectroscopy and Classical Methods
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